Modeling of dependence in a peer-to-peer video application

Authors:
Natalia M. Markovich
Affiliations:
Institute of Control Sciences of Russian Academy of Sciences, Moscow, Russia
Venue:
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Year:
2010

Citing 3
Cited 2

An Introduction to Copulas (Springer Series in Statistics)

An Introduction to Copulas (Springer Series in Statistics)
Traffic analysis of peer-to-peer IPTV communities

Computer Networks: The International Journal of Computer and Telecommunications Networking
Classification of slice-based VBR video traffic and estimation of link loss by exceedance

Computer Networks: The International Journal of Computer and Telecommunications Networking

Analyzing measurements from data with underlying dependences and heavy-tailed distributions

Proceedings of the 2nd ACM/SPEC International Conference on Performance engineering
Quality assessment of the packet transport of peer-to-peer video traffic in high-speed networks

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Abstract

We consider the underlying network characteristics of an IPTV trace. The pairwise dependence in a triple (X, Y, R) denoting the inter-arrival time between packets, the packet length and the rate of transmission in a peer-to-peer IPTV session is detected and modeled. The three quantities are related by R = Y/X. We argue that the inter-arrival time and the packet length as well as the rate and the packet length are dependent, and the rate and the inter-arrival time are almost independent random variables. The Pickand's function and an empirical copula are used as measures of dependence. A Clayton copula provides an appropriate model of all underlying pair-wise dependencies.